Quantifying similarity between motifs

Gupta, Shobhit, Stamatoyannopoulos, John A., Bailey, Timothy L. and Noble, William Stafford (2007) Quantifying similarity between motifs. Genome Biology, 8 2: R24.1-R24.9. doi:10.1186/gb-2007-8-2-r24

Author Gupta, Shobhit
Stamatoyannopoulos, John A.
Bailey, Timothy L.
Noble, William Stafford
Title Quantifying similarity between motifs
Journal name Genome Biology   Check publisher's open access policy
ISSN 1474-7596
Publication date 2007
Sub-type Article (original research)
DOI 10.1186/gb-2007-8-2-r24
Open Access Status DOI
Volume 8
Issue 2
Start page R24.1
End page R24.9
Total pages 9
Place of publication London, United Kingdom
Publisher Biomed Central
Language eng
Abstract A common question within the context of de novo motif discovery is whether a newly discovered, putative motif resembles any previously discovered motif in an existing database. To answer this question, we define a statistical measure of motif-motif similarity, and we describe an algorithm, called Tomtom, for searching a database of motifs with a given query motif. Experimental simulations demonstrate the accuracy of Tomtom's E values and its effectiveness in finding similar motifs.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article # R24

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
ERA 2012 Admin Only
Institute for Molecular Bioscience - Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 377 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 394 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 18 Feb 2008, 17:04:52 EST